Update README.md

README.md

@@ -28,7 +28,7 @@ model-index:
 
 # BnLM-C: Bangla Language Model (66M)
 
-**BnLM-C** is a 66M-parameter Bangla-specific pretrained language model, one of three models in the **BnLM** suite (**B**e**n**gali **L**anguage **M**odel) introduced alongside the **BLUGE** benchmark and **B-CORE** pretraining corpus. BnLM models are pretrained from scratch on Bangla text using the Masked Language Modeling (MLM) objective, and are designed for efficient, low-resource NLP without relying on large multilingual models. BnLM-C is the most compact variant in the suite, built for deployment under tighter compute and latency constraints.
+**BnLM-C** is a 66M-parameter Bangla-specific pretrained language model, one of three models in the **BnLM** suite (**B**e**n**gali **L**anguage **M**odel) introduced alongside the **BLUGE** benchmark and **B-CORE** pretraining corpus. BnLM-F is among the smallest Bangla language models available, while ranking among the most accurate and computationally efficient — delivering state-of-the-art results at a fraction of the size and compute of multilingual alternatives. BnLM models are pretrained from scratch on Bangla text using the Masked Language Modeling (MLM) objective, and are designed for efficient, low-resource NLP without relying on large multilingual models. BnLM-C is the most compact variant in the suite, built for deployment under tighter compute and latency constraints.
 
 See the [BLUGE collection](https://huggingface.co/collections/nahid-hub/bluge) for the full release — evaluation tasks, pretraining corpus, tokenizers, and all three BnLM variants (BnLM-F, BnLM-M, BnLM-C).